Qventus

DevOps Manager

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare TechnologyIndustries

Requirements

Candidates must possess at least 7 years of experience in DevOps, SRE, or Infrastructure roles, with a minimum of 5 years in a leadership capacity. They should have strong expertise in AWS, deep hands-on experience with Terraform and Infrastructure as Code (IaC), a solid background in cloud security and compliance frameworks, and proven experience in cost optimization across cloud and data platforms. Furthermore, candidates are expected to have experience modernizing DevOps workflows and platforms, along with excellent communication, leadership, and cross-functional collaboration skills. Experience with Kubernetes, Helm, and container orchestration is a plus, as is familiarity with GenAI tools applied to DevOps, monitoring, or infrastructure workflows, and experience with internal developer platforms.

Responsibilities

The DevOps Manager will own and evolve cloud infrastructure in AWS and Azure using Terraform and IaC best practices, lead automation of CI/CD pipelines, provisioning, and configuration workflows, drive adoption of platform engineering and developer self-service tooling, apply GenAI to accelerate deployment and streamline ops, ensure infrastructure meets SOC 2, HIPAA, and internal security requirements, collaborate with InfoSec to manage IAM, patching, and incident response, use AI-assisted monitoring to improve threat detection, monitor and reduce spend across AWS, Snowflake, Databricks, Azure, and Datadog, build tools for cost forecasting, align cost strategy with business goals, improve CI/CD speed, stability, and ease of use, build an internal platform that enables velocity and self-service, lead, mentor, and scale a global DevOps team, drive infrastructure modernization projects, and champion a culture of experimentation and operational excellence.

Skills

AWS
Azure
Terraform
IaC
CI/CD
Cloud Security
GenAI
DevOps
Platform Engineering
IAM
Security Compliance
Monitoring

Qventus

Automates healthcare operations using AI technology

About Qventus

Qventus provides a platform that uses artificial intelligence and machine learning to improve healthcare operations. The platform integrates data from Electronic Health Records and market sources to automate various care processes. By optimizing resource utilization and increasing visibility within healthcare facilities, Qventus helps reduce patient stays and enhances the quality of care. It also aims to alleviate staff burnout by minimizing cognitive load, allowing healthcare workers to spend more time with patients. Unlike many competitors, Qventus focuses on strategic partnerships and has demonstrated significant financial benefits for its clients, with some reporting over $10 million in annual savings. The goal of Qventus is to transform healthcare operations, making them more efficient and effective for both providers and patients.

Mountain View, CaliforniaHeadquarters
2012Year Founded
$108MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Medical, dental & vision plans
Stock options
Annual learning & development stipend
Generous vacation
Employee referral & bonus programs
401(K) plan
Fitness reimbursement
FSA & HSA
Parental leave program
Catered meals & snacks
Quarterly hackathons & team events

Risks

Increased competition from AI healthcare startups like Olive and LeanTaaS.
Potential integration challenges with existing EHR systems could hinder platform adoption.
Data privacy concerns and regulatory scrutiny could impact operations and compliance.

Differentiation

Qventus uses AI and ML to optimize hospital operations in real-time.
The platform integrates EHR data to automate care operations and reduce staff burnout.
Qventus has proven success with significant financial benefits for healthcare facilities.

Upsides

Qventus secured $105M to expand AI automations and operational assistants.
The platform reduces hospital stay lengths and increases surgical volumes, saving millions.
Growing demand for AI tools enhances patient flow management in hospitals.

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